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Senior Applied Scientist - Image & Video Search Algorithm

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
China , Beijing

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Are you interested in solving large‑scale search problems and building next‑generation image and video search experiences powered by machine learning and large language models (LLMs)? The Bing Multimedia Group builds global image and video search feeds and content discovery experiences across Bing, Windows, Edge, MSN, and Azure. Our systems serve users in 100+ markets worldwide, handling billions of queries and content interactions every day. We are hiring Senior Applied Scientist to work on image and video retrieval, ranking, relevance optimization, and LLM‑powered search APIs and applications, driving real user impact in production systems at global scale.

Job Responsibility:

  • Design, develop, and improve large‑scale image and video search algorithms, with a focus on retrieval, recall, ranking, and relevance optimization
  • Build and operate multi‑stage search pipelines that power production image and video search experiences
  • Develop LLM‑powered search APIs and applications, integrating large language models with search, retrieval, and ranking systems to enable new developer and user experiences
  • Apply machine learning, deep learning, multimodal models, and LLM techniques to improve search quality, engagement, and long‑term product growth
  • Own the end‑to‑end machine learning lifecycle: Problem formulation and metric definition, Offline training, evaluation, and optimization, Online experimentation (A/B testing), Production deployment and monitoring
  • Build billion‑scale, low‑latency ML systems integrated into Bing and Windows search runtimes
  • Collaborate with researchers and partner teams to explore and productionize state‑of‑the‑art techniques for image, video, and LLM‑driven search scenarios

Requirements:

  • Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
  • Proven track record of impact in search engines or recommendation systems
  • Solid understanding of search engine fundamentals, including query, user, and content understanding, retrieval / recall architectures, ranking and relevance optimization
  • Experience building production machine learning systems, from data modeling to online deployment
  • Hands‑on experience in one or more of the following areas: Information retrieval, Recommendation systems, Computer vision or video understanding, Deep learning, NLP, or multimodal learning
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Solid communication and collaboration skills in cross‑functional, global teams
  • MS or PhD in Computer Science or a related field
  • Experience with large‑scale image or video search systems
  • Familiarity with multi‑stage retrieval and ranking pipelines in production search engines
  • Experience applying LLMs or multimodal foundation models to search, recommendation, or API‑based applications
  • Experience with search APIs or developer‑facing ML platforms
  • Experience with big‑data systems and pipelines (e.g., Hadoop, Spark)
  • Understanding of search quality metrics, online experimentation, and long‑term relevance strategies
  • Experience building high‑performance, low‑latency systems at scale

Additional Information:

Job Posted:
March 21, 2026

Work Type:
On-site work
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